Effect of birthweight measurement quality improvement on low birthweight prevalence in rural Ethiopia.
Effect of birthweight measurement quality improvement on low birthweight prevalence in rural Ethiopia.
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DOI：
10.1186/s12963-021-00265-0
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发表时间：
2021-09-22
影响因子：
3.3
通讯作者：
Lee ACC
中科院分区：
文献类型：
--
作者：
Baye E;Abate FW;Eglovitch M;Shiferie F;Olson IE;Shifraw T;Kidane WT;Yibeltal K;Tsegaye S;Derebe MM;Isanaka S;Wylie BJ;Molina RL;Chan GJ;Worku A;Mullany LC;Worku A;Berhane Y;Lee ACC
低出生体重（LBW） （< 2500 g）是世界范围内婴儿发病率和死亡率的重要决定因素。在低收入环境中，出生体重数据的质量受到测量和记录错误、数据报告系统不一致以及非设施出生数据缺失的影响。本文描述了埃塞俄比亚阿姆哈拉地区实施出生体重质量改善（QI）倡议前后的出生体重数据质量和低体重的患病率。在西Gojjam区和南Gondar区选定的农村卫生设施中进行了一项前后比较研究。在基线时，对14个卫生中心2018年2月至5月的分娩记录进行回顾性审查，以收集出生体重数据。2019年8月推出了一项出生体重指数倡议，其中包括提供高质量的数字婴儿体重秤（精度5克）、常规校准、出生体重和数据记录培训以及常规现场监督。QI实施后，于2019年8月底至9月初、2019年12月至2020年6月前瞻性收集出生体重数据。在实施QI之前和之后，计算数据质量，通过堆积（权重为500 g的精确倍数）和舍入到最接近的100 g来测量，以及LBW的患病率。我们回顾性地回顾了1383例实施QI前的分娩记录，并前瞻性地测量了1371例实施QI后的新生儿体重。在3000 g时最常见的堆积现象，从26%的主动性下降到6.7%的主动性后。2500g堆积率从qi前的5.4%下降到qi后的2.2%。舍入到最接近100g的百分比从主动前的100%减少到主动后的36.5%。QI计划实施前，确诊的LBW患病率为2.2%(95%可信区间[CI]: 1.5-3.1)， QI计划实施后，确诊的LBW患病率上升至11.7% （95% CI: 10.1-13.5）。QI干预可以改善出生体重测量的质量，而数据测量的质量可能会显著影响LBW患病率的估计。在线版本包含补充材料，可在10.1186/s12963-021-00265-0获得。
Low birthweight (LBW) (< 2500 g) is a significant determinant of infant morbidity and mortality worldwide. In low-income settings, the quality of birthweight data suffers from measurement and recording errors, inconsistent data reporting systems, and missing data from non-facility births. This paper describes birthweight data quality and the prevalence of LBW before and after implementation of a birthweight quality improvement (QI) initiative in Amhara region, Ethiopia. A comparative pre-post study was performed in selected rural health facilities located in West Gojjam and South Gondar zones. At baseline, a retrospective review of delivery records from February to May 2018 was performed in 14 health centers to collect birthweight data. A birthweight QI initiative was introduced in August 2019, which included provision of high-quality digital infant weight scales (precision 5 g), routine calibration, training in birth weighing and data recording, and routine field supervision. After the QI implementation, birthweight data were prospectively collected from late August to early September 2019, and December 2019 to June 2020. Data quality, as measured by heaping (weights at exact multiples of 500 g) and rounding to the nearest 100 g, and the prevalence of LBW were calculated before and after QI implementation. We retrospectively reviewed 1383 delivery records before the QI implementation and prospectively measured 1371 newborn weights after QI implementation. Heaping was most frequently observed at 3000 g and declined from 26% pre-initiative to 6.7% post-initiative. Heaping at 2500 g decreased from 5.4% pre-QI to 2.2% post-QI. The percentage of rounding to the nearest 100 g was reduced from 100% pre-initiative to 36.5% post-initiative. Before the QI initiative, the prevalence of recognized LBW was 2.2% (95% confidence interval [CI]: 1.5–3.1) and after the QI initiative increased to 11.7% (95% CI: 10.1–13.5). A QI intervention can improve the quality of birthweight measurements, and data measurement quality may substantially affect estimates of LBW prevalence. The online version contains supplementary material available at 10.1186/s12963-021-00265-0.
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影响因子：
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作者：
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